# Multi-Dimensional Quantitative Analysis of Precipitates in the Hot-Rolled Al-1%Mn Alloy

https://mdr.nims.go.jp/datasets/b6abbd40-18cd-46aa-b898-75d2aade1ce8

## File

- [Materials Transactions.pdf](https://mdr.nims.go.jp/filesets/31e0ba8b-64ed-44d4-9233-41767fe4c680/download) ([Detail](https://mdr.nims.go.jp/filesets/31e0ba8b-64ed-44d4-9233-41767fe4c680.md))

## Id

b6abbd40-18cd-46aa-b898-75d2aade1ce8

## Local identifier



## Visibility

open_to_public

## State

published

## Created at

2026-09-17T02:13:56.251923Z

## Updated at

2026-09-17T04:34:20.230080Z

## Published at

2026-09-17T07:28:25.743034Z

## Doi



## First published url

https://doi.org/10.2320/matertrans.mt-l2026006

## Date published

2026-09-01

## Recorded date published

2026

## Resource type

journal_article

## Manuscript type

vor

## Collection



## Title

- title: Multi-Dimensional Quantitative Analysis of Precipitates in the Hot-Rolled
    Al-1%Mn Alloy
  title_type: original
  lang: en

## Description

- description: Precipitates formed during the hot rolling process of the 1050 Al-1
    mass% Mn alloy were quantitatively characterized by three-dimensional (3D) analysis.
    The 3D image was reconstructed using a serial sectioning technique that combined
    a focused ion beam and scanning electron microscopy. In the reconstructed 3D volume,
    11186 precipitates were identified, and the size distribution was well explained
    by a log-normal distribution. In addition, we evaluated the precipitates observed
    in a two-dimensional (2D) SEM image extracted from the 3D volume and by scanning
    transmission electron microscopy observation of a specimen fabricated from the
    serially sectioned sample, enabling observation of the same region. Based on the
    data obtained from the 2D and 3D images, the average precipitate size measured
    from the 2D images was much smaller than that measured from the 3D images. This
    difference is attributed to the morphological anisotropy caused by hot rolling.
    Furthermore, we examined the effect of the number of analyzed precipitates on
    the average size and distribution. The average size depended significantly on
    the number of analyzed precipitates, indicating that a minimum number of precipitates
    is required for quantitative analysis. Moreover, we statistically evaluated the
    normality of the logarithmic size distribution using a quantile–quantile plot.
  description_type: abstract
  lang: und

## Creator

- name: Seiichiro Ii
  role: author
  orcid: https://orcid.org/0000-0003-3999-384X
- name: Ken-ichi Ikeda
  role: author
- name: Toru Hara
  role: author
  orcid: https://orcid.org/0000-0002-9715-6444

## Contact agent



## Publisher

organization: The Japan Institute of Metals and Materials

## Managing organization



## Keyword

- subject: quantitative analysis
  schema: not_defined
- subject: precipitate
  schema: not_defined
- subject: serial-sectioning
  schema: not_defined
- subject: FIB-SEM
  schema: not_defined
- subject: Al–Mn alloy
  schema: not_defined

## Rights

- identifier: https://creativecommons.org/licenses/by-nc-nd/4.0/

## Other identifier(s)



## Data origin

- data_origin_type: other

## Embargo



## Journal

- title: MATERIALS TRANSACTIONS
  issn: '13459678'
  volume: '67'
  issue: '9'
  article_number: MT-L2026006

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## Instrument



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## Measurement method



## Specimen



## Chemical composition



## Structure for specimen



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## Fileset

- id: 31e0ba8b-64ed-44d4-9233-41767fe4c680
  filename: Materials Transactions.pdf
  content_type: application/pdf
  size: 2543935
  md5: 5b14b7f19d0c5f8b8525ba2ccfc57921

## Thumbnail

fileset_id: 31e0ba8b-64ed-44d4-9233-41767fe4c680
filename: Materials Transactions.pdf